NDLI: Ray space factorization for from-region visibility

Content Provider	ACM Digital Library
Author	Sorkine, Olga Cohen-or, Daniel Leyvand, Tommer
Copyright Year	2003
Abstract	From-region visibility culling is considered harder than from-point visibility culling, since it is inherently four-dimensional. We present a conservative occlusion culling method based on factorizing the 4D visibility problem into horizontal and vertical components. The visibility of the two components is solved asymmetrically: the horizontal component is based on a parameterization of the ray space, and the visibility of the vertical component is solved by incrementally merging umbrae. The technique is designed so that the horizontal and vertical operations can be efficiently realized together by modern graphics hardware. Similar to image-based from-point methods, we use an occlusion map to encode visibility; however, the image-space occlusion map is in the ray space rather than in the primal space. Our results show that the culling time and the size of the computed potentially visible set depend on the size of the viewcell. For moderate viewcells, conservative occlusion culling of large urban scenes takes less than a second, and the size of the potentially visible set is only about two times larger than the size of the exact visible set.
Starting Page	595
Ending Page	604
Page Count	10
File Format	PDF
ISSN	07300301
e-ISSN	15577368
DOI	10.1145/882262.882313
Volume Number	22
Issue Number	3
Journal	ACM Transactions on Graphics (TOG)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2003-07-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	PVS Dual space Hardware acceleration Line parameterization Occlusion culling Visibility
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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